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lstm-translate-practice
Osktakahashi/lstm-translate-practice
lstm-translate-practice is a machine learning model from Osktakahashi. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
A base-scale implementation of the hybrid architecture, built for multitask tasks.
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Public
Updated Aug 25, 2026
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.py4.6 KB · 67%
At a glance
- License
- mit
- Access
- Public
- Created
- Aug 25, 2026
- Updated
- Aug 25, 2026
- SHA
- 2e5a2ecd
Model card
From the Hugging Face model README
eval.py
Model Overview
A base-scale implementation of the hybrid architecture, built for multitask tasks.
Architecture
- Architecture: hybrid
- Scale: base
- Attention: linear
- Fusion strategy: tensor fusion
- Task head: multitask
- Activation: relu
- Normalization: scalenorm
- Initialization: kaiming
Training
- Optimizer: adamw
- LR scheduler: polynomial
Files
eval.py— main artifact of this repository
License
See the license field above.
- License
- mit
- Created
- Aug 25, 2026
- Updated
- Aug 25, 2026